Fuzzy nearest neighbor approach for drought monitoring and assessment

Fuzzy nearest neighbor approach for drought monitoring and assessment

Abstract In this paper, a new approach is proposed based on the Fuzzy-nearest neighbor model to deal with drought monitoring. According to the Standardized Precipitation Index and via Fuzzy-kNN approach, a method has been presented to predict the most likely drought conditions. In order to appraise...

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Main Authors: E. Fadaei-Kermani, M. Ghaeini-Hessaroeyeh
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Applied Water Science
Subjects:
Fuzzy-kNN model
SPI
Drought monitoring
Drought Index
Model evaluation
Online Access:http://link.springer.com/article/10.1007/s13201-020-01212-4
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spelling doaj-dc6ec863af904c649100876815cc69a32020-11-25T02:36:33ZengSpringerOpenApplied Water Science2190-54872190-54952020-05-011061810.1007/s13201-020-01212-4Fuzzy nearest neighbor approach for drought monitoring and assessmentE. Fadaei-Kermani0M. Ghaeini-Hessaroeyeh1Department of Civil Engineering, Faculty of Engineering, Shahid Bahonar University of KermanDepartment of Civil Engineering, Faculty of Engineering, Shahid Bahonar University of KermanAbstract In this paper, a new approach is proposed based on the Fuzzy-nearest neighbor model to deal with drought monitoring. According to the Standardized Precipitation Index and via Fuzzy-kNN approach, a method has been presented to predict the most likely drought conditions. In order to appraise the precision of results, the model was applied to monitor the drought status in city of Kerman, located in south east of Iran. The results showed that the area has faced drought and also rainfall shortages in recent years. The calculated values of correlation coefficient, RMSE, CRM and MAE coefficients showed the accuracy and efficiency of the proposed approach.http://link.springer.com/article/10.1007/s13201-020-01212-4Fuzzy-kNN modelSPIDrought monitoringDrought IndexModel evaluation
collection DOAJ
language English
format Article
sources DOAJ
author E. Fadaei-Kermani
M. Ghaeini-Hessaroeyeh
spellingShingle E. Fadaei-Kermani
M. Ghaeini-Hessaroeyeh
Fuzzy nearest neighbor approach for drought monitoring and assessment
Applied Water Science
Fuzzy-kNN model
SPI
Drought monitoring
Drought Index
Model evaluation
author_facet E. Fadaei-Kermani
M. Ghaeini-Hessaroeyeh
author_sort E. Fadaei-Kermani
title Fuzzy nearest neighbor approach for drought monitoring and assessment
title_short Fuzzy nearest neighbor approach for drought monitoring and assessment
title_full Fuzzy nearest neighbor approach for drought monitoring and assessment
title_fullStr Fuzzy nearest neighbor approach for drought monitoring and assessment
title_full_unstemmed Fuzzy nearest neighbor approach for drought monitoring and assessment
title_sort fuzzy nearest neighbor approach for drought monitoring and assessment
publisher SpringerOpen
series Applied Water Science
issn 2190-5487
2190-5495
publishDate 2020-05-01
description Abstract In this paper, a new approach is proposed based on the Fuzzy-nearest neighbor model to deal with drought monitoring. According to the Standardized Precipitation Index and via Fuzzy-kNN approach, a method has been presented to predict the most likely drought conditions. In order to appraise the precision of results, the model was applied to monitor the drought status in city of Kerman, located in south east of Iran. The results showed that the area has faced drought and also rainfall shortages in recent years. The calculated values of correlation coefficient, RMSE, CRM and MAE coefficients showed the accuracy and efficiency of the proposed approach.
topic Fuzzy-kNN model
SPI
Drought monitoring
Drought Index
Model evaluation
url http://link.springer.com/article/10.1007/s13201-020-01212-4
work_keys_str_mv AT efadaeikermani fuzzynearestneighborapproachfordroughtmonitoringandassessment
AT mghaeinihessaroeyeh fuzzynearestneighborapproachfordroughtmonitoringandassessment
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